Blog
Notes on logging and energy
How we think about structured logging, pattern readouts, and building Habisty for people who want signal—not streak guilt.
How to Find a Caffeine Cutoff That Works for You
A practical two-week caffeine cutoff experiment: what to log, how to avoid false conclusions, and when to speak with a clinician.
Read article →What NEXUS Does With Your Brain Dump
How Habisty uses a voice or text Brain Dump during onboarding to suggest a starting blueprint, with clear limits on what AI can do.
Read article →How to Log Sleep, Stimulants, and Focus So Patterns Actually Show Up
A strict logging taxonomy for sleep, caffeine, and focus blocks—the fields worth tracking if you want correlations instead of a prettier diary.
Read article →Habit Tracker vs Life OS: Why Checkmarks Never Explain Your Energy
A habit tracker counts completions. A Life OS logs sleep, stimulants, focus, and journal tags in one model—so you can see the mechanism, not just the streak.
Read article →AI Journaling Privacy: What Habisty Sends to NEXUS
What Habisty stores, what NEXUS sends to an AI provider for inference, and what we do not use your private logs for.
Read article →High Sleep Score, Low Energy: How to Add Context to Your Data
A sleep score is one signal, not a diagnosis. A practical way to review sleep, stimulants, focus, and context when you still feel tired.
Read article →When Habit Streaks Help—and When to Track More Context
Streaks can support consistency, but they are not the whole picture. A practical framework for habits, context, and rolling rates.
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